AI/ML Job: Analytics and Machine Learning Director

HUB International

Analytics and Machine Learning Director at HUB International

Chicago, Illinois, United States 🇺🇸   (Posted Sep 14 2018)
About the company
HUB International Limited (“HUB”) is the 7th largest global insurance and employee benefits broker, providing a broad array of property, casualty, risk management, life and health, employee benefits, investment and wealth management products and services. With over 10,000 employees in 450 offices throughout North America, HUB has grown substantially, in part due to our industry leading success in mergers and acquisitions.

Job position
Permanent

Job description
Candidate will be responsible for leading and coordinating multiple Reporting & Advanced Analytical projects in the Data & Analytics space; responsible for the requirements gathering, planning, controlling, development, rollout, maintenance and reporting of the projects, and for the management of Analytics & Machine Learning functions, and execution of the approved projects, and resource management. The candidate needs to have an expertise in Analytics & Machine Learning technologies to conduct productive communication with business users, provide project planning and tracking and total project management. This is a hands-on role and will expect the leader to lead from the front in designing the algorithms and working with Development for enterprise deployment and scalability. The individual must be able to develop excellent client relationships as well as having strong team building skills.

About the Position:

Our company will require that the Director - Analytics & Machine Learning manage all organization-wide Analytics & Machine Learning activities and will have responsibility for improving the quality, enrichment, setting standards on Analytics & Machine Learning and managing the protection of sensitive data and information assets. The position will focus on establishing and ensuring adherence to an enterprise data Analytics & Machine Learning framework for reporting, analytics, data science / machine learning, data policies, standards, practices and procedures, both at the Department and Business and Functional areas level, to achieve the required level of consistency, quality and protection to meet overall business needs.

The Director - Analytics & Machine Learning serves as a point of escalation for Analytics & Machine Learning governance, data quality and protection issues and will work closely with Business and Functional area leadership to improve the quality and value of core data assets, respond to regulatory protection requirements as well as support the strategic requirements of the department.

Responsibilities:

Develop and gain support on the enterprise wide Analytics & Machine Learning Strategy

Participate in analysis sessions with the user community to capture, define data requirements clearly, completely and correctly

Define project scope, objectives and requirements and own the project plan, schedule, budget, resource management, vendor management, issues and risks.

Manage the delivery of multiple projects concurrently that have moderate to high levels of business or technical complexity and risk, and that involve multiple business areas and owners.

Manage dependencies and impacts with other teams and business functions.

Be accountable to ensure project commitments and deliverables are met.

Interact daily with development teams, QA, business analysts, functional managers, support teams, cross-functional business teams and global process owners to develop the overall program plans, schedules and ensure the smooth delivery of the business solution and all deliverables.

Skills & requirements
Qualifications:

Bachelor Degree in Information Systems or related discipline preferred

10+ years of experience implementing Data & Analytics tools and capabilities

5+ years of experience implementing Machine Learning tools and capabilities

10 years of Business and/or IT experience.

10 years working on BI/DW/MDM projects.

Strong exposure to AWS or Azure environment is required

Strong background in project methodology (Waterfall, Agile, etc.).

8 years of experience in project management of small and medium teams

Knowledge of database, data integration, and Data & Analytics / MDM products.

Experience working with Microsoft`s BI Stack, SQL skills, R, Machine Learning, Python capabilities

Experience in participating in analysis sessions with the user community to capture, define Analytics & Machine Learning requirements clearly, completely and correctly

This is a hands-on role and will expect the leader to lead from the front in designing the algorithms and working with Development for enterprise deployment and scalability

PMP certification is a plus, but not required.

Conducting Risk assessment and mitigation, issue escalation and resolution

Performing Staff and/or Consultants planning and assignments

Reporting Status, creating Project Management status report dashboards or scorecards

Working closely with Architecture & Development, BI and Data Warehouse functional managers by building a strong rapport and guiding through the BI Applications process

Understanding of Architecture & Development and MDM solutions: operational and analytical, knowledge of relational and multi-dimensional database architectures

Building out an enterprise wide Analytics & Machine Learning strategy leverage existing tools i.e., Microsoft BI tools, SQL skills, R, Machine Learning, Python

Additional qualifications:

Outstanding communication and interpersonal skills.

Ability to work independently and as part of a team

Ability to execute effectively on the agreed upon decisions

Excellent organizational skills with the ability to work effectively on multiple priorities with firm deliverable dates.

Worked with third party data enrichment services

Experience in delivering quality work on time with multiple, competing priorities

Experienced in working well with the cross functional team to meet project milestones, manage client satisfaction and mentor others on the team

Worked with third party data enrichment services

Experience in delivering quality work on time with multiple, competing priorities

Experienced in working well with the cross functional team to meet project milestones, manage client satisfaction and mentor others on the team

Development of an enterprise wide Analytics & Machine Learning strategy

Development of detailed project management plan and schedule

Development and tracking of work breakdown structure, and capacity planning

Monitoring progress in terms of scope, schedule and budget; monitoring accomplished vs. planned tasks

Instructions how to apply
see the website
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